{"id":"W2339433440","doi":"10.4000/echogeo.14483","title":"Réforme territoriale à l'italienne : d'une géographie des intérêts à une géographie de la rigueur","year":2016,"lang":"fr","type":"article","venue":"EchoGéo","topic":"Urbanization and City Planning","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cégep de Rivière-du-Loup","funders":"","keywords":"Humanities; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005722146,0.0001646916,0.0001949999,0.0007826113,0.001135924,0.004033809,0.0003283557,0.0005079725,0.009073454],"category_scores_gemma":[0.001343296,0.0001354652,0.0001378718,0.002302248,0.006789967,0.002055515,0.001641841,0.0008972068,0.0005873344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008282972,"about_ca_system_score_gemma":0.004262711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04906014,"about_ca_topic_score_gemma":0.08791705,"domain_scores_codex":[0.9994977,0.0001658111,0.00001224313,0.00008600674,0.00007486204,0.0001634534],"domain_scores_gemma":[0.9994484,0.0001730144,0.0001497919,0.00007398397,0.00006205164,0.00009280553],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003199336,0.000007488422,0.007681594,0.00005845461,0.000005734278,0.0001971136,0.01177355,0.0006018893,0.000369123,0.9632642,0.003907527,0.01210136],"study_design_scores_gemma":[0.00004199203,0.00005609784,0.1041032,0.0004163198,0.00002671881,0.0003041608,0.01954914,0.001336104,0.0007365629,0.05645879,0.8169448,0.00002606318],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.4023531,0.006410221,0.005100232,0.03136574,0.0001173433,0.00004146447,0.0003437996,0.00005507396,0.554213],"genre_scores_gemma":[0.9567369,0.001868077,0.000868934,0.0004922917,0.00005526095,0.00003586032,0.00009646028,0.00002146304,0.03982471],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04906014,"threshold_uncertainty_score":0.09754914,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01446223703859717,"score_gpt":0.2747245439494782,"score_spread":0.260262306910881,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}